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Titlebook: Geometric Aspects of Functional Analysis; Israel Seminar (GAFA Bo‘az Klartag,Emanuel Milman Book 2020 Springer Nature Switzerland AG 2020 A

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发表于 2025-3-21 17:53:33 | 显示全部楼层 |阅读模式
书目名称Geometric Aspects of Functional Analysis
副标题Israel Seminar (GAFA
编辑Bo‘az Klartag,Emanuel Milman
视频video
概述Features a unique mixture of papers on convex geometry and high-dimensional analysis.Describes state-of-the-art progress in asymptotic geometric analysis.Written from an interdisciplinary perspective,
丛书名称Lecture Notes in Mathematics
图书封面Titlebook: Geometric Aspects of Functional Analysis; Israel Seminar (GAFA Bo‘az Klartag,Emanuel Milman Book 2020 Springer Nature Switzerland AG 2020 A
描述Continuing the theme of the previous volumes, these seminar notes reflect general trends in the study of Geometric Aspects of Functional Analysis, understood in a broad sense. Two classical topics represented are the Concentration of Measure Phenomenon in the Local Theory of Banach Spaces, which has recently had triumphs in Random Matrix Theory, and the Central Limit Theorem, one of the earliest examples of regularity and order in high dimensions. Central to the text is the study of the Poincaré and log-Sobolev functional inequalities, their reverses, and other inequalities, in which a crucial role is often played by convexity assumptions such as Log-Concavity. The concept and properties of Entropy form an important subject, with Bourgain‘s slicing problem and its variants drawing much attention. Constructions related to Convexity Theory are proposed and revisited, as well as inequalities that go beyond the Brunn–Minkowski theory. One of the major current research directions addressedis the identification of lower-dimensional structures with remarkable properties in rather arbitrary high-dimensional objects. In addition to functional analytic results, connections to Computer Scienc
出版日期Book 2020
关键词Asymptotic Geometric Analysis; Convex Geometry; Functional Analysis; Functional Inequalities; Geometric
版次1
doihttps://doi.org/10.1007/978-3-030-46762-3
isbn_softcover978-3-030-46761-6
isbn_ebook978-3-030-46762-3Series ISSN 0075-8434 Series E-ISSN 1617-9692
issn_series 0075-8434
copyrightSpringer Nature Switzerland AG 2020
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发表于 2025-3-21 22:18:09 | 显示全部楼层
,The Lower Bound for Koldobsky’s Slicing Inequality via Random Rounding,and all . . Our bound is optimal, up to the value of the universal constant. It improves slightly upon the results of the first named author and Koldobsky, which included a doubly-logarithmic error. The proof is based on an efficient way of discretizing the unit sphere.
发表于 2025-3-22 04:16:13 | 显示全部楼层
Two-Sided Estimates for Order Statistics of Log-Concave Random Vectors,uncorrelated coordinates. Our bounds are exact up to multiplicative universal constants in the unconditional case for all . and in the isotropic case for . ≤ . − ... We also derive two-sided estimates for expectations of sums of . largest moduli of coordinates for some classes of random vectors.
发表于 2025-3-22 05:38:25 | 显示全部楼层
,Further Investigations of Rényi Entropy Power Inequalities and an Entropic Characterization of s-CoBobkov and Chistyakov (IEEE Trans Inform Theory 61(2):708–714, 2015) fails when the Rényi parameter . ∈ (0, 1), we show that random vectors with .-concave densities do satisfy such a Rényi entropy power inequality. Along the way, we establish the convergence in the Central Limit Theorem for Rényi en
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Concentration of the Intrinsic Volumes of a Convex Body,quence of intrinsic volumes. The main result states that the intrinsic volume sequence concentrates sharply around a specific index, called the central intrinsic volume. Furthermore, among all convex bodies whose central intrinsic volume is fixed, an appropriately scaled cube has the intrinsic volum
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Two Remarks on Generalized Entropy Power Inequalities,nicity and entropy comparison of weighted sums of independent identically distributed log-concave random variables. We also present a complex analogue of a recent dependent entropy power inequality of Hao and Jog, and give a very simple proof.
发表于 2025-3-23 00:56:19 | 显示全部楼层
On the Geometry of Random Polytopes,ric random variable that has variance 1, let Γ = (..) be an . × . random matrix whose entries are independent copies of ., and set .., …, .. to be the rows of Γ. Then under minimal assumptions on . and as long as . ≥ .., with high probability
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